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基本情報
| 氏名 |
武藤 ゆみ子 |
| 氏名(カナ) |
ムトウ ユミコ |
| 氏名(英語) |
MUTO Yumiko |
| 所属 |
脳科学研究所 先端知能・ロボット研究センター(AIBot研究センター) |
| 職名 |
准教授 |
| researchmap研究者コード |
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| researchmap機関 |
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How do people in the UK and Japan imagine an encounter with a robot?: a story-stem study
Maki Rooksby, Terry J Goetz, Yumiko Muto, Emily S. Cross
The role of culture for human—robot interaction (HRI) remains largely inconclusive. Yet, experimental investigations are challenging, as findings are often constrained by specific experimental setups. A qualitative approach—one where people produce their own HRI situations—may offer a unique insight into cultural factors during HRI. Using a story-stem technique, people who identified themselves as UK or Japanese nationals were asked to write a short story, beginning with a fellow human of their country group encountering a robot. Thematic analysis focusing on the nature of human― robot relationship as well as the extent to which the robot character is portrayed to be agentic, indicated that stories enacting both highly agentic robot characters and an in-group relationship were far more frequent in the Japanese group. The findings are discussed as to what contribution such a qualitative approach may make for the ongoing work to design culturally sensitive robots.
Proceedings of the Extended Abstracts of the CHI Conference on Human Factors in Computing Systems
https://doi.org/10.1145/3706599.3720127
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